Xu Mou

According to our database, Xu Mou authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Graph Neural Networks With High-Order Polynomial Spectral Filters.

Zeyuan Zeng, Qinke Peng, Xu Mou, Ying Wang, Ruimeng Li

IEEE Trans. Neural Networks Learn. Syst., September, 2024

SEHF: A Summary-Enhanced Hierarchical Framework for Financial Report Sentiment Analysis.

Haozhou Li, Qinke Peng, Xinyuan Wang, Xu Mou, Yonghao Wang

IEEE Trans. Comput. Soc. Syst., June, 2024

Multi-document influence on readers: augmenting social emotion prediction by learning document interactions.

Xu Mou, Qinke Peng, Zhao Sun, Muhammad Fiaz Bashir, Haozhou Li

Neural Comput. Appl., April, 2024

2023

A Deep Learning Framework for News Readers' Emotion Prediction Based on Features From News Article and Pseudo Comments.

Xu Mou, Qinke Peng, Zhao Sun, Ying Wang, Xintong Li, Muhammad Fiaz Bashir

IEEE Trans. Cybern., April, 2023

Abstractive Financial News Summarization via Transformer-BiLSTM Encoder and Graph Attention-Based Decoder.

Haozhou Li, Qinke Peng, Xu Mou, Ying Wang, Zeyuan Zeng, Muhammad Fiaz Bashir

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Generic and scalable periodicity adaptation framework for time-series anomaly detection.

Zhao Sun, Qinke Peng, Xu Mou, Muhammad Fiaz Bashir

Multim. Tools Appl., 2023

2022

A successful hybrid deep learning model aiming at promoter identification.

Ying Wang, Qinke Peng, Xu Mou, Xinyuan Wang, Haozhou Li, Tian Han, Zhao Sun, Xiao Wang

BMC Bioinform., 2022

2021

An artificial intelligence-based real-time monitoring framework for time series.

Zhao Sun, Qinke Peng, Xu Mou, Ying Wang, Tian Han

J. Intell. Fuzzy Syst., 2021

2020

An Effective Hybrid Deep Learning Model for Eukaryotic Promoter Identification.

Ying Wang, Qinke Peng, Xu Mou, Tian Han, Zhao Sun, Xiao Wang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020